| Laser cutting technology is widely used because of its advantages of good cutting quality,high efficiency,non-contact,and various types of cutting.With the continuous research on laser cutting technology,the performance of laser cutting is constantly improving.In the laser cutting process,the adjustable parameters that affect the quality of laser cutting are mainly laser cutting speed,auxiliary air pressure,laser power,pulse width,frequency and so on.This article mainly studies the improvement of cutting quality by changing the cutting parameters.Therefore,this article introduces the concept of off-axis quantity.Its main working principle is that the laser beam advances the center of assisting gas blowing,so that it produces a certain distance.The influence of laser cutting quality helps to improve the cutting quality.This article first mainly observes the influence of changes in process parameters on cutting quality.This experiment mainly takes 2mm stainless steel as the research object,uses nitrogen as the auxiliary gas,takes off-axis amount,cutting speed,auxiliary air pressure,and laser power as the main influencing parameters,and takes slit width,surface roughness,and section roughness as the quality of laser cutting.Evaluation index,cutting test and quality analysis of stainless steel sheet to obtain the optimal process parameters.Secondly,taking the off-axis amount,cutting speed,auxiliary air pressure,and laser power as the influencing factors,and taking the slit width,surface roughness,and section roughness as the response values,the response surface optimization design is carried out and the significance analysis is carried out.Discuss the effect of the interaction between off-axis amount and cutting speed,off-axis amount and auxiliary air pressure,off-axis amount and laser power on slit width,surface roughness,section roughness,and explain the influence degree of each parameter.Finally,through the response surface optimization design,formulas for predicting slit width,surface roughness,and section roughness are obtained,and the optimal cutting parameters and response values are predicted and the optimal results are obtained.At the same time,experimental verification is carried out. |